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Space And The Measurement Of Income Segregation

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  • Casey J. Dawkins

Abstract

type="main" xml:lang="en"> ABSTRACT This paper proposes a new spatial ordering index that that can be used to quantify the dependence of a given pattern of income segregation on the spatial arrangement of neighborhoods. Unlike other spatial measures of income segregation proposed in the literature, the spatial ordering index is less sensitive to the presence of outliers, satisfies the “principle of transfers,” and is flexible enough to quantify a variety of spatial patterns of segregation. The index can be interpreted in terms of the ratio of two covariances. Properties of the proposed measure are demonstrated using an example from the city of Baltimore, Maryland.

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  • Casey J. Dawkins, 2007. "Space And The Measurement Of Income Segregation," Journal of Regional Science, Wiley Blackwell, vol. 47(2), pages 255-272, May.
    • Handle: RePEc:bla:jregsc:v:47:y:2007:i:2:p:255-272
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    File URL: http://hdl.handle.net/10.1111/j.1467-9787.2007.00508.x
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    References listed on IDEAS

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    1. repec:bla:revinw:v:37:y:1991:i:3:p:313-29 is not listed on IDEAS
    2. Hardman, Anna & Ioannides, Yannis M., 2004. "Neighbors' income distribution: economic segregation and mixing in US urban neighborhoods," Journal of Housing Economics, Elsevier, vol. 13(4), pages 368-382, December.
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    6. Casey J. Dawkins, 2004. "Measuring the Spatial Pattern of Residential Segregation," Urban Studies, Urban Studies Journal Limited, vol. 41(4), pages 833-851, April.
    7. Silber, Jacques, 1989. "Factor Components, Population Subgroups and the Computation of the Gini Index of Inequality," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 107-115, February.
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    Cited by:

    1. Olga Alonso-Villar, 2008. "What are we assuming when using inequality measures to quantify geographic concentration? An axiomatic approach," Working Papers 0801, Universidade de Vigo, Departamento de Economía Aplicada.
    2. Sergio Rey & Richard Smith, 2013. "A spatial decomposition of the Gini coefficient," Letters in Spatial and Resource Sciences, Springer, vol. 6(2), pages 55-70, July.

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